Journal of Multimedia Information System

한국멀티미디어학회 (Korea Multimedia Society)
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Triangle Method for Fast Face Detection on the Wild

  • 투고 : 2018.02.22
  • 심사 : 2018.03.18
  • 발행 : 2018.03.30
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초록

There are a lot of problems in the face detection area. One of them is detecting faces by facial features and reducing number of the false negatives and positions. This paper is directed to solve this problem by the proposed triangle method. Also, this paper explans cascades, Haar-like features, AdaBoost, HOG. We propose a scheme using 12-net, 24-net, 48-net to scan images and improve efficiency. Using triangle method for frontal pose, B and B1 methods for other poses in neural networks are proposed.

키워드

E1MTCD_2018_v5n1_15_f0001.png 이미지

Fig. 1. Rectangle features (two, three and four rectanglefeatures).

E1MTCD_2018_v5n1_15_f0002.png 이미지

Fig. 2. Detection eye by HOG.

E1MTCD_2018_v5n1_15_f0003.png 이미지

Fig. 3. Different face characters.

E1MTCD_2018_v5n1_15_f0004.png 이미지

Fig. 4. Face or not face pose.

E1MTCD_2018_v5n1_15_f0005.png 이미지

Fig. 5. Scan image by 12, 24, 48-net window.

E1MTCD_2018_v5n1_15_f0006.png 이미지

Fig. 6. Face poses and features.

E1MTCD_2018_v5n1_15_f0007.png 이미지

Fig. 7. Neuron network.

참고문헌

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